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Case-Based Reasoning: Concepts, Features and Soft Computing

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Abstract

Here we first describe the concepts, components and features of CBR. The feasibility and merits of using CBR for problem solving is then explained. This is followed by a description of the relevance of soft computing tools to CBR. In particular, some of the tasks in the four REs, namely Retrieve, Reuse, Revise and Retain, of the CBR cycle that have relevance as prospective candidates for soft computing applications are explained.

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References

  1. A. Aamodt and E. Plaza, "Case-based reasoning: Foundational issues, methodological variations, and system approach," AI Communications, vol. 7, no. 1, pp. 39–59, 1994.

    Google Scholar 

  2. J.L. Kolodner, Case-Based Reasoning, Morgan Kaufmann: San Mateo, CA, 1993, pp. 27–28.

    Google Scholar 

  3. I. Watson, Applying Case-Based Reasoning: Techniques for Enterprise Systems, Morgan Kaufmann: San Francisco, CA, 1997.

    Google Scholar 

  4. L.A. Zadeh, "Soft computing and fuzzy logic," IEEE Software, pp. 48–56, 1994.

  5. Z. Pawlak, Rough Sets, Theoretical Aspects of Reasoning About Data, Kluwer Academic: Dordrecht, 1991.

    Google Scholar 

  6. S.K. Pal, L. Polkowski, and A. Skowron (Eds.), Rough-Neural Computing: Techniques for Computing with Words, Springer-Verlag: Berlin, 2004.

    Google Scholar 

  7. B.C. Jeng and T.P. Liang, "Fuzzy indexing and retrieval in casebased systems," Expert Systems with Applications, vol. 8, no. 1, pp. 135–142, 1995.

    Google Scholar 

  8. S.K. Pal and S.C.K. Shiu, Foundations of Soft Case-Based Reasoning, John Wiley: NY, 2004.

    Google Scholar 

  9. S.K. Pal and S. Mitra, Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing, John Wiley: NY, 1999.

    Google Scholar 

  10. S.K. Pal and A. Skowron (Eds.), Rough Fuzzy Hybridization: A New Trend in Decision Making, Springer-Verlag: Singapore, 1999.

    Google Scholar 

  11. S.K. Pal, T.S. Dillon, and D.S. Yeung (Eds.), Soft Computing in Case-Based Reasoning, Springer-Verlag: London, 2001.

    Google Scholar 

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Shiu, S.C., Pal, S.K. Case-Based Reasoning: Concepts, Features and Soft Computing. Applied Intelligence 21, 233–238 (2004). https://doi.org/10.1023/B:APIN.0000043556.29968.81

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  • DOI: https://doi.org/10.1023/B:APIN.0000043556.29968.81

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